This work concerns the necessity of statistical evaluation of neural network
experiments. This necessity is motivated by applying
fundamental notions of statistical hypotheses testing to neural
network research. Minimum requirements concerning statistical
evaluation are developed and the appropriate statistical techniques
are introduced. Articles from two leading neural network journals
are examined and critizised for the lack of statistical evaluation
they contain.